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End-to-End Learning and Intervention in Games
In a social system, the self-interest of agents can be detrimental to th...
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Bi-directional Cognitive Thinking Network for Machine Reading Comprehension
We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) f...
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CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Scene graphs are semantic abstraction of images that encourage visual un...
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DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
To conduct a radiomics or deep learning research experiment, the radiolo...
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Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering
Knowledge-based Visual Question Answering (KVQA) requires external knowl...
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KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
Visual dialogue is a challenging task that needs to extract implicit inf...
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DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
Visual Dialogue task requires an agent to be engaged in a conversation w...
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Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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Solving Optimal Experimental Design with Sequential Quadratic Programming and Chebyshev Interpolation
We propose an optimization algorithm to compute the optimal sensor locat...
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DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Different from Visual Question Answering task that requires to answer on...
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Resilience for Landslide Geohazards and Promoting Strategies in the Three Gorges Reservoir Area
Recently, resilience is increasingly used as a concept for understanding...
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Multi-modal Learning with Prior Visual Relation Reasoning
Visual relation reasoning is a central component in recent cross-modal a...
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Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity
Blind image deconvolution is the problem of recovering the latent image ...
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Approximability of the Eight-vertex Model
We initiate a study of the classification of approximation complexity of...
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Semantic Modeling of Textual Relationships in Cross-Modal Retrieval
Feature modeling of different modalities is a basic problem in current r...
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Textual Relationship Modeling for Cross-Modal Information Retrieval
Feature representation of different modalities is the main focus of curr...
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Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Cross-modal information retrieval aims to find heterogeneous data of var...
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